数字混沌扩频序列的盲估计

混沌序列具有非线性、宽带类噪声、大的码族、任意长的周期且容易产生的特性,因此在扩频通信系统中很有实用价值。本文将文献[1]中对伪随机扩频序列盲估计的方法推广应用到混沌扩频通信中,并对其不足提出了改进方法。在只知道扩频码周期而无其它任何先验知识的条件下,利用特征值分析的方法可以对数字混沌直扩序列进行盲估计,仿真实验证明了该方法的有效性。

Blind Estimation of Digital Chaotic Spread-Spectrum Sequence

Chaotic sequences have several properties: the ease of their generation and various families with an arbitrary family size and sequence period, as well as their broadband noise-like and non-linear nature. It is these properties that provide the potential for applying chaotic sequences in spread-spectrum communications. In this paper, the authors extend the method of blind estimation of the pseudo-random sequence of the spread-spectrum signal, which is provided by literature [1], to the chaotic spread-spectrum communication system and improve it. Experimental results show that the method, which is based on the eigenvalue analysis, can estimate the chaotic spreading sequence only by the knowledge of symbol period in a non-cooperative context.